Top 3 reasons to attend
- Discover the latest advances in GenAI, machine learning, analytics and data governance.
- Learn how to drive insights with natural language, integrate data management with AI and governance, and support GenAI applications with quality, privacy and control.
- See how leading companies are reducing TCO through automatic performance and storage optimization.
Agenda overview
| Registration | 8:00 AM - 5:00 PM |
| Expo | 8:00 AM - 9:30 AM 11:30 AM - 6:00 PM |
| Keynote | 9:15 AM - 11:30 AM |
| Breakout Sessions | 12:00 PM - 5:20 PM |
| Lunch | 11:30 AM - 1:30 PM |
| Reception | 5:15 PM - 6:15 PM |
Speakers
Head of Data Engineering and Data Architecture of Markerstudy Distribution
Markerstudy Group
Co-founder and SVP of Field Engineering
Databricks
Snr. Specialist SA
Databricks
Sr Solutions Engineer
Databricks
Delivery Solutions Architect
Databricks
Global Data and Analytics Product Director
Diageo
Avanade Client Group CTO, Retail Data Strategist and Interim Chief Data Officer
New Look
Head of AI Research
BBC
VP of Data Science & Self Service
Rolls-Royce Plc
Chief Technology Officer
ENSEK
Head of Data Services
Sega
Head of Consumer Data, Analytics and Insights
Diageo GB
Solutions Architect, Banking & Capital Markets Lead, UK&I
Databricks
Sigma Computing
Solutions Architect
Databricks
Senior Solutions Architect for Energy
Databricks
VP - Head of FSI, Cyber Security and Public Sector
Databricks
Solutions Architect
Databricks
Senior Solutions Architect
Databricks
Product Manager – Applied Intelligence
Rolls-Royce
Lead Data Strategist
Databricks
Senior Specialist Solutions Architect
Databricks
Senior Solutions Architect
Databricks
Co-Founder
Dakko AI
Specialist Solutions Architect • Field Eng
Databricks
General Manager
Amperity
Director AI Digital Twins & Intelligent Autonomous Systems
GSK
VP, Head of Northern Europe (NEMEA)
Databricks
AVP, Healthcare & Life Sciences GTM
Databricks
Senior Sales Director Consumer Goods
Databricks
CTO
Greenland Capital Management LP
SD Data Visualisation
Asda
Director - Data
Co-op
Sr. Director, Enterprise
Databricks
Head of Data Exploitation
Defra
Retail Solutions Architect
Databricks
Sr. Solutions Architect
Databricks
Head of Data & Analytics
SSE Energy Solutions
Global VP Retail and Consumer Goods
Databricks
Principal Data Scientist
Boots UK
Solutions Architect
Databricks
Senior Specialist Solutions Engineer (DS/ML)
Databricks
SVP & GM, EMEA
Databricks
Senior Director AI/ML and Decision Sciences
GSK
Senior Solution Engineer
Databricks
Director, Retail
Databricks
Vice President Data & Analytics
Asda
Chief Data and Analytics Officer
Nationwide Building Society
Account Executive
Databricks
Field Engineering
Databricks
Partner Engineer
Meta
Head of BI & Advanced Analytics
Virgin Atlantic
Global VP of Product
MiQ
Solutions Architect
Databricks
Vice President of Data, Analytics and AI
Bp
Featured sessions
Featured sessions
Data + AI World Tour Keynote
Complexity has long been the barrier to success with data and AI. But, the unification of lakehouse architecture with generative AI has rapidly opened up new opportunities to simplification. By bringing AI to your data, you can analyze huge quantities of information from many different sources to generate outputs that drive efficiency, spur creative thinking and enhance productivity.
Hear from Databricks leaders about the latest innovations in AI, data warehousing, and analytics on the Databricks Data Intelligence Platform. Additionally, data leaders will explore the interconnections between data and AI and how to save good models from bad data.
Accelerating Digital Transformation Through Data Intelligence to Become a ‘Modern Mutual'
Join Junta Nakai, Head of Financial Services at Databricks and Sri Kanisapakkam, Chief Data Officer at Nationwide Building Society, for this fascinating Fireside Chat and discover how the world’s largest building society implemented Databricks technology to drive digital transformation. You will also learn how Nationwide resolved its biggest data challenges within an exceptionally short timeframe, and how the organisation employed the Databricks Data Intelligence Platform to develop a future strategy for its 17 million members – fulfilling its vision to ‘Become a Modern Mutual’.
AI/BI Genie - Intro and Best Practices
As a busy data professional, you're probably getting far more requests to answer questions and build visualizations than you have time to actually handle. What if you can empower your partner teams to do more in a self-service way? In this talk we'll explore some best practices in doing so.
Comprehensive Guide to Mosaic AI: Getting GenAI Apps to Production on Databricks
Step into the world of rapid Generative AI application development with Mosaic AI. We'll explore the suite of tools within Mosaic AI that revolutionize how we create and maintain high-quality AI applications, cutting down the path to production.
Gain insights into:
- Efficient Application Design: Learn how to leverage Mosaic AI for designing production-quality GenAI applications
- Seamless Maintenance Strategies: Discover strategies for the ongoing maintenance of your AI applications, ensuring they continue to meet evolving needs.
- Practical Integration Techniques: Witness a comprehensive end-to-end demonstration that showcases the practical application of these tools and strategies in real-world scenarios.
- This session is your gateway to mastering the intricacies of GenAI application development, offering actionable knowledge to streamline your projects with Mosaic AI and Databricks.
Customer Panel: Transforming Retail with Data and AI
In this specialist Retail session, hear from Rob Saker, AVP, Retail Consumer Goods at Databricks, who will explain how the retail industry is evolving in terms of data and Generative AI, and will present trends and strategies on how to best use data and AI to accelerate business value. This is followed by a panel discussion featuring some of the most innovative UK data leaders in the retail sector, who will share their experiences of how data and AI is transforming their individual organisations.
Databricks SQL: Addressing Data Warehousing’s Biggest Challenges with Data Intelligence
This session provides an overview of end-to-end data warehousing with Databricks SQL, from ingestion and ETL to queries and dashboards. Databricks SQL has also tapped the power of AI to address the data warehouse’s biggest historical challenges — performance, governance and usability — thanks to a deeper understanding of your specific data and how it’s used. We will share the latest of these AI-powered capabilities such as using natural language to ask questions or create visualizations, and the AI-optimized performance with serverless, elastic infrastructure for better TCO.
Discover Unity Catalog: Your Guide to Governance for Data and AI with Live Demos and New Features!
Join the Unity Catalog product team for an in-depth exploration of the latest in data and AI governance. Unity Catalog is the only solution that offers unified governance for both data and AI, native to the Databricks Data Intelligence Platform. In this session, we will unveil the newest features, such as enhanced governance with detailed row/column filtering, Governed Tags, Attribute-Based Access Controls (ABAC), and the latest updates in automated data lineage, governance for ML assets, and performance improvements.
This session, packed with demos, will illustrate how Unity Catalog's new features can streamline your data governance processes and simplify your analytics and AI initiatives. You'll also get an exclusive preview of our future plans. Plus, seize the opportunity to pose your most pressing questions to the product experts and learn why Unity Catalog is the best governance solutions for all your data and AI. Don’t miss out on this exciting opportunity to level up your data game with Unity Catalog!
Dive Into Building Production Quality Gen AI Applications With Agent Framework
In order to effectively move Generative AI applications from prototype to production, you need to have a good understanding of the quality and performance behind your AI system. We'll cover Agent Framework a developer workflow that lets you quickly iterate on experiments and easy-to-get feedback to know if the quality is improving and helps measure metrics to get a quantitative view of how well your compound AI system is performing.
Join this session to see how we're bringing the power of Databricks Vector Search, Model Serving, MLflow, and more together in an end-to-end demo showing how to deploy a high-quality AI application.
Get Started with Data Engineering with Databricks (Repeat)
Hands-on labs: Yes
Learn how to navigate the Databricks Data Engineering & Data Science Workspace user interface, develop and run code using Databricks Notebooks, version notebooks with Databricks Repos, and use Delta Lake to perform data management tasks.
Learning objectives
By the end of this course, you will:
- Describe fundamental concepts about Databricks
- Explain fundamental concepts about the Data Engineering & Data Science Workspace
- Explain fundamental concepts about Delta Lake
- Navigate the Workspace user interface
Use the Workspace to:
- Create and manage clusters using the Databricks Clusters UI
- Develop and run code in multi-cell Databricks notebooks using basic operations
- Integrate git support using Databricks Repos
- Perform data management tasks using Delta Lake
Prerequisites
- Beginner-level knowledge of the Databricks Data Intelligence Platform.
- Beginner familiarity with cloud computing concepts (virtual machines, object storage, etc.)
- Intermediate experience with basic SQL concepts (select, filter, groupby, join, etc)
When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event.
Get Started with Data Engineering with Databricks (Repeated)
Hands-on labs: Yes
Learn how to navigate the Databricks Data Engineering & Data Science Workspace user interface, develop and run code using Databricks Notebooks, version notebooks with Databricks Repos, and use Delta Lake to perform data management tasks.
Learning objectives
By the end of this course, you will:
- Describe fundamental concepts about Databricks
- Explain fundamental concepts about the Data Engineering & Data Science Workspace
- Explain fundamental concepts about Delta Lake
- Navigate the Workspace user interface
Use the Workspace to:
- Create and manage clusters using the Databricks Clusters UI
- Develop and run code in multi-cell Databricks notebooks using basic operations
- Integrate git support using Databricks Repos
- Perform data management tasks using Delta Lake
Prerequisites
- Beginner-level knowledge of the Databricks Data Intelligence Platform.
- Beginner familiarity with cloud computing concepts (virtual machines, object storage, etc.)
- Intermediate experience with basic SQL concepts (select, filter, groupby, join, etc)
When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event.
Get Started with Generative AI with Databricks (Repeat)
Hands-on labs: No
Learn how to navigate the Databricks platform to build and develop Generative AI applications in this follow along course. You will learn how to develop prompts, and compound AI systems using MLflow and Mosaic AI on the platform. As well as learn concepts around governance and differences with GenAI.
Learning objectives
By the end of the course, you will learn:
- Generative AI opportunities and challenges
- How to set up a dev environment and get started with prompt engineering on Databricks with MLFlow
- How to build a compound AI system with retrieval augmented generation (RAG)
- Introduction to fine-tuning models and pretraining LLMs with Mosaic AI
- How to approaching governance for AI applications
Prerequisites
- Intermediate-level experience with Python
- Working knowledge of machine learning and deep learning is helpful
When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event.
Get Started with Generative AI with Databricks (Repeated)
Hands-on labs: No
Learn how to navigate the Databricks platform to build and develop Generative AI applications in this follow along course. You will learn how to develop prompts, and compound AI systems using MLflow and Mosaic AI on the platform. As well as learn concepts around governance and differences with GenAI.
Learning objectives
By the end of the course, you will learn:
- Generative AI opportunities and challenges
- How to set up a dev environment and get started with prompt engineering on Databricks with MLFlow
- How to build a compound AI system with retrieval augmented generation (RAG)
- Introduction to fine-tuning models and pretraining LLMs with Mosaic AI
- How to approaching governance for AI applications
Prerequisites
- Intermediate-level experience with Python
- Working knowledge of machine learning and deep learning is helpful
When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event.
Getting Started with Databricks SQL: Live Demos and New Features
Join us for live demos on Databricks SQL and discover how our streamlined interfaces simplify data warehousing for analysts, developers, admins, and business users. Learn how to create a data warehouse, ingest and transform data, and build queries and dashboards effortlessly. This session will showcase the latest features, including new AI assistants for coding and dashboards, performance optimizations with serverless infrastructure, and enhanced observability with system tables. Additionally, we'll explore AI-powered capabilities that address performance, governance, and usability challenges in data warehousing, such as natural language queries and visualizations, and serverless, elastic infrastructure for better total cost of ownership.
Harnessing the Power of AI & GenAI within Digital Twins in Pharma Manufacturing
Unlocking the full potential of healthcare data with AI to enhance outcomes. Join Sander Timmer, PhD, and Matthieu Duvinage, Prof. PhD, as they explore the use of Generative AI and traditional AI in creating process digital twins.
A Process Digital Twin is a type of AI that can create realistic and diverse simulations of bioprocesses without needing a lot of data and limited domain knowledge by smartly using Generative AI strategies to boost its efficiency. The Process Digital Twin Copilot integrates various biomanufacturing data (sensors, omics, networks, literature) to generate insightful outputs like graphs, dashboards, and natural language summaries for better bioprocess control. These outputs can be graphs, dashboards or natural language summaries.
They will present examples of how these technologies have been used in GSK and discuss the technical and data challenges that must be solved to drive real-world benefits in constrained manufacturing processes.
How to Migrate from Snowflake to an Open Lakehouse using Delta Lake UniForm
The Delta Lake Universal Format, or UniForm for short, expands Delta Lake's existing ecosystem by allowing one single set of data to be used across all the tools in your lakehouse architecture. With UniForm, you only need to save your data once, and then it can be accessed by any software that works with the main open table formats like Linux Foundation's Delta Lake, Apache Iceberg, and soon, Apache Hudi. It does this by creating Iceberg or Hudi metadata alongside Delta Lake, maintaining a single copy of the underlying Parquet data files.
In our session, we'll explain what UniForm can do now and what it will be able to do, and we'll go over the best ways to add Delta Lake UniForm to your lakehouse architecture.
LakeFlow Connect: Introducing Databricks’ New Native Ingestion Connectors
A major challenge data practitioners face is maintaining data ingestion pipelines—from on-prem database connectivity, to evolving SaaS APIs, to holistic governance.
Join the us to learn more about LakeFlow Connect - a new set of native ingestion connectors for popular SaaS applications, databases, and file sources. These connectors are auto-optimized, low-maintenance, and integrated with the rest of the Data Intelligence Platform—from governance via Unity Catalog to orchestration via Databricks Workflows. And you can do it all via a no-code UI or an API.
In this demo-packed session, you’ll learn about what’s new, what’s on the roadmap, how to take full advantage of these new ingestion capabilities.
Scale Fast - Why Disruptors and Unicorns Choose the Data Intelligence Platform
Join this breakout to learn how start-ups, scale-ups, disruptors and unicorn customers have scaled their businesses using Databricks - from starting out with their data strategy, all the way to building their product on Databricks. Hear from Media IQ, Atlanta Group and Dakko about:
- how the Databricks Data Intelligence Platform has helped scale their business
- standardisation of their data strategy for scale
- building products on Databricks & the partnership opportunities and the value that brings
Sponsored by: Anomalo | How Lebara Automates Enterprise Data Quality at Scale
Hear from Matt Crawley, Chief Data Officer of Lebara about their Databricks data architecture, the business initiatives they're driving, and how automated data quality with Anomalo makes it possible. We'll conclude with learnings, best practices, and tips for other enterprise data leaders looking to drive data modernization initiatives at their organizations.
Sponsored by: AWS | Architecture Explained: Generative AI Based Complex Data Processing
With the emergence of generative AI, enterprises are building innovative applications for improved customer experience. Databricks has end-to-end offerings from ingestion to building large language models (LLM) applications. Amazon Web Services (AWS) provides highly resilient infrastructure and intelligent document processing(IDP) capabilities using Amazon Textract, Amazon Transcribe, Amazon Comprehend and many other services, and generative AI capabilities using Amazon Bedrock with industry leading 3P and 1Pmodels as well as Open-sourc
e models such as Llama-3, Mixtral-7Bmodels. Join this session to see how you can leverage multiple options to process your documents using Databricks and AWS technologies. Key takeaways include:
- Interoperability between Databricks and AWS for generative Applications
- AWS AI services for Intelligent Document Processing
- Databricks Auto Loader, Vector Store, Deployment AI Gateway,and configure to use Amazon Bedrock
Sponsored by: Celebal | SAP Data Modernization with Databricks
Prepare to unlock the full potential of your SAP investments and propel your business into Industry 4.0. This session will guide you through essential strategies to leverage Generative AI and advanced analytics with Databricks, focusing on integrating and analyzing data from both SAP and non-SAP sources. Learn how to implement robust ERP data governance practices via Unity Catalog to ensure data integrity and compliance, while harnessing generative AI for workflow automation and enhanced decision-making. Discover our accelerators for pre-built content for Industry Lake Houses designed to drive growth and innovation by providing actionable insights. Learn how to consolidate multiple silo Data Applications and Platforms onto Databricks including applications for Planning, Forecasting and Predictive Maintenance. Learn how Databricks Data Intellingence Platform is the best Warehouse to combine both IT and OT datasets, both governed by Databricks Unity Catalog.
Sponsored by: Monte Carlo | Scale and Self-Service: Abacus Medicine Group's Data Transformation
There are few projects more challenging – and more impactful for the business – than modernizing your data stack with a migration to the cloud. The data team at Abacus Medicine Group, a fast-growing supplier of prescription medicines, tackled this migration head-on, embarking on a data transformation journey that centered on delivering high-quality, reliable data the entire organization could trust. With data observability at the heart of their strategy, the team increased accessibility and visibility into their data, enabling self-service analytics at scale.
In this session, we'll share Abacus Medicine Group’s data transformation with data observability over the past decade. During this session, they’ll share:
- Abacus Medicine Group’s modern data stack migration best practices
- The impact of partnering with Databricks and Monte Carlo to meet the needs of their modern data challenges
- Tips for how to improve data quality across the business
Sponsored by: Prophecy | Speeding Access to Data with the Data Transformation Copilot
Prophecy Data Transformation Copilot is changing how Fortune 500 companies tackle data transformation and deliver the clean, trusted, timely data they need to better serve customers, improve efficiency, and comply with regulations.
Traditional data transformation approaches are inefficient, and the coding of pipelines puts strain on scarce data engineering resources. The result is business teams are blocked from the data they need and data teams are oversubscribed.
Prophecy, the Data Transformation Copilot, represents a generational shift from these approaches. Intuitive visual tools let everyone develop data pipelines, Intelligent AI makes everyone more productive, and powerful compiler technology generates enterprise-grade code.
In this session, you will
- See the the key role data transformation plays to unlock data
- How the Data Transformation Copilot approach changes data pipeline creation for fortune 500 companies
Sponsored by: QLIK | Building a Trusted Data Foundation for AI on Databricks
When looking to use the power of AI at scale, modernizing data engineering isn't a choice, it’s a requirement. Doing that right means having the ability to automate the discovery, integration, & transformation of source data directly into Databricks, while tapping into advanced functionalities directly within workflows. Qlik integrates with Databricks MosaicAI, and automates real-time complete end-to-end data pipelines that are low or no-code. Spend less time integrating and transforming data and more time performing rich AI driven analysis, LMM fine tuning, and feeding ML (Machine Learning) & gen-AI models like Databricks DBRX. Join this session & see a demo highlighting how Qlik Talend Data Integration automates the delivery and transformation of sources data, including SAP to the Databricks Data Intelligence Platform. Plus, hear examples of successful real-time data integration into Databricks at customers like Vale, Textron, Mercedes Benz, Trek Bikes, and JB Hunt.
Sponsored by: Rivery | Accelerate Data Pipeline Dev Time: Unleash Gen AI for a 20X Leap
Even as data teams remain lean in 2024, data engineers are still expected to swiftly deliver data for various use cases. Adding new data sources and updating existing ones consumes nearly half of a data engineer's time, hindering your organization's data and AI-led goals. Rivery's modern data platform solves this issue across all your data sources with an innovative blueprint and generative AI. Join this session to learn how to overcome unscalable data pipeline challenges and unlock the benefits of all of your Data.
Sponsored by: Satori Cyber Inc. | Business-Driven Data Access Governance with Unity Catalog
Data teams often find themselves between a rock and a hard place. Business owners push for more data-driven decisions while security and governance have to ensure data is used according to policy. Stuck in the middle, data teams need to manage this tradeoff somehow... Join us to learn how data teams can use Unity Catalog and Satori to delegate responsibility of data access to the business while staying secure and compliant
Sponsored by: Sigma | Harnessing Data-Driven Insights in Quantamental Investing
Greenland Capital harnesses data-driven insights to transform quantamental investing. By leveraging Databricks and Sigma, the firm overcomes technical barriers, streamlines data workflows, and empowers financial analysts. This enables greater efficiency, productivity, and data access - driving better investment decisions for portfolio managers.
Sponsored by: ThoughtSpot | Redefining Decision-Making with AI-Powered Analytics
Join Fraser Morgan, Head of Data Engineering at Brambles, and James Smith, VP EMEA at ThoughtSpot, as they delve into the future of decision-making with AI-powered analytics. This session will highlight how Brambles is revolutionising their decision-making processes by empowering business users to perform their own data analyses, thus accelerating decision-making and boosting data literacy. Discover practical strategies for leveraging AI and advanced analytics tools to gain a competitive edge and drive success in your organisation. Don’t miss this opportunity to gain insights from industry leaders and explore how to transform your data approach.
Success Story: Department for Food, Environment and Rural Affairs
In this session, Pritesh Patel, Public Sector Lead at Databricks, and Paul Sinclair, Head of Data Exploitation at the Department for Environment, Food and Rural Affairs (DEFRA) will discuss how DEFRA has leveraged DASH – its Data Analytics and Science Hub – to equip its scientists and analysts with the skills, tools and data access to produce powerful and robust analysis to address complex environmental, food and farming challenges, now and into the future.
The Connected Data Engine: Driving Business Value at Diageo Through Data Intelligence
As a global leader in premium drinks, and one of the largest CPG companies in the world, Diageo is strongly focused on keeping the pace of innovation. Join Cherne Hendricks, Global Data and Analytics Product Director, and Gerald Adeyemo, Global Head of Consumer Data, Analytics, and Insights, to learn about how data is enabling Diageo’s consumer digital transformation journey.
You will also hear about the Connected Data Engine, a consumer data platform designed to accelerate value creation through scalability and impact across brands, markets, and channels.
The Role of AI in the Future of Energy for the UK
In this session, join Patrick Feast as he hosts an insightful and dynamic discussion with prominent figures at the forefront of their fields: bp, SSE, Centrica and ENSEK. This panel will delve into the pressing issues of our era, with a keen focus on the transformative realms of energy and artificial intelligence. Attendees can expect a thought-provoking exchange that not only explores the current landscape but also forecasts the future implications of these pivotal sectors. As these industry leaders share their expertise and debate the trends shaping our world, participants will gain invaluable perspectives on how these innovations are driving change – and the challenges that lie ahead. The panel will be preceded by an introduction to the Data Intelligence Platform by Ivo Everts.
Unlocking Customer Data Value: Introducing the Lakehouse CDP
Join Virgin Atlantic and Amperity as they unveil the Lakehouse CDP, a groundbreaking Customer Data Platform built on Databricks. Discover how Virgin Atlantic has overcome common customer data management challenges through its partnership with Amperity, unlocking significant value from a dynamic 360-degree view of the customer.
Women in Data
The Women in Data + AI Panel discussion brings together data leaders to explore the topics of mentorship, allyship, and how we can bring women into tech roles.Our panellists will share their personal journeys, ideas and insights on how to navigate today’s industry landscape and the opportunities that being and having a mentor can shape and build your career path. The panel will also explore the importance of allyship, and what you can do to work with your counterparts within your organisation.This session is open to everyone to attend.
Sponsors
Sponsors
Amazon Web Services (AWS)
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers - including the fastest-growing startups, largest enterprises, and leading government agencies - trust AWS to power their infrastructure, become more agile, and lower costs.
Anomalo
Anomalo is the market leader in enterprise data quality monitoring, leveraging automated AI to swiftly detect and resolve data issues. Its advanced machine learning techniques ensure data integrity for decision-making and analytics, reducing risks and costs associated with data errors. Designed for scalability, Anomalo adapts to evolving enterprise needs, enhancing operational efficiency. By transforming enterprise data management from reactive to proactive, Anomalo not only safeguards data accuracy but also provides enterprises a competitive edge in the data-driven world.
Celebal Technologies
Celebal Technologies is a leading global IT services organization renowned for driving enterprise digital transformations across diverse industries. Our expertise spans Generative AI, Machine Learning, Data Science, Industry Data Models, Database Migration, and SAP Modernization. With a proven track record, we've successfully collaborated with over 200 clients worldwide. By seamlessly integrating traditional enterprise practices with cutting-edge cloud technologies, we empower businesses to thrive in the digital era. We are committed to delivering holistic, end-to-end solutions that drive sustainable growth and provide a competitive advantage.
Microsoft
Microsoft's mission is to empower every person and every organization on the planet to achieve more. With its Intelligent Data Platform, Microsoft recommends organisations combine advanced AI, analytics, database and security services to form a powerful solution capable of data-driven innovation and transformation in the era of AI.
Monte Carlo
Barr Moses, CEO and Co-founder of Monte Carlo, coined the term data observability with the mission of making data and AI more reliable. Our data observability platform ensures data teams are the first to know and solve data quality issues - before they impact the business. Monte Carlo is used by hundreds of data teams and across the largest Databricks deployments including Riot Games, Amgen, Comcast and more. We continue to lead the category as we enter the age of generative AI, helping teams improve the reliability of their AI products by ensuring that the data that is feeding LLMs is trustworthy, accurate, and on time.
Prophecy
Prophecy is the data copilot company. Fortune 500 enterprises - including the largest institutions in banking, insurance, healthcare & life sciences, and technology - rely on Prophecy Data Transformation Copilot to accelerate AI and analytics by delivering data that is clean, trusted, and timely. Prophecy enables all data users and makes them productive by helping develop, deploy, and observe data pipelines on cloud data platforms. Organizations trust Prophecy for the most demanding workloads, including tens of thousands of data pipelines that deliver massive volumes of data for AI and analytics.
Qlik
About Qlik® Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages advanced, enterprise-grade AI/ML and pervasive data quality. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive and real-time analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.
Rivery
Rivery simplifies data integration for businesses of any size to build strong, secure, and unified data infrastructures, bringing together over 200 fully managed data services into a single platform. Eliminating the complexities of integrating unstructured and structured data sources, Rivery enables organizations to focus on innovating products, services, customer experiences, and growth strategies. Founded in 2019, the company has over 350 customers including top brands Bayer, BuzzFeed, American Cancer Society, and EMAAR Properties. Learn more about Rivery at rivery.io.
Satori Cyber Inc.
Satori is a Data Security Platform that allows data teams to enable their users to go fast with their data while meeting security and compliance requirements. This in turn helps companies win with data, and become AI-ready faster. Satori continuously discovers sensitive data across your databases, lakes and warehouses, tracks data usage and applies security policies dynamically. Learn more at satoricyber.com.
Sigma Computing
Sigma is next-generation analytics and business intelligence that scales billions of records using spreadsheets, SQL, Python, or AI—without compromising speed and security. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data. Discover what happened, why it happened, and what will happen.
ThoughtSpot
ThoughtSpot is the AI-Powered Analytics company. Our mission is to create a more fact-driven world with the easiest-to-use analytics platform. With ThoughtSpot, anyone can leverage natural language search powered by large language models to ask and answer data questions with confidence. Customers can take advantage of both ThoughtSpot’s web and mobile applications to improve decision-making for every employee, wherever and whenever decisions are made. With ThoughtSpot’s low-code developer-friendly platform, ThoughtSpot Embedded, customers can also embed AI-Powered Analytics to their products and services, monetizing their data and engaging users to keep them coming back for more.
Event Details and FAQ
| How much does it cost to attend the Data + AI World Tour? | All Data + AI World Tour stops are free to attend. |
| I am having difficulties registering. How can I get help? | Please email world-tour-support@databricks.com. |
| How do I register for training? | When registering, please select you are interested in attending training. Registration for training will open closer to the event. You must reserve your seat in order to attend training. |
| Will you be providing meals with dietary restrictions in mind? | We will provide meals that are vegetarian and vegan. If you have other dietary restrictions, please email world-tour-support@databricks.com and we will do our best to accommodate. |
| Where is the event located? | The event is held at the ICC at ExCel London, Royal Victoria Dock, Western Gateway, London E16 1XL. |
